Indexer lambda update post demo

sds_data_manager/lambda_code/SDSCode/database/models.py

@@ -10,7 +10,6 @@
     Boolean,
     Column,
     DateTime,
-    ForeignKey,
     Identity,
     Integer,
     String,
@@ -114,8 +113,15 @@ class StatusTracking(Base):
     id = Column(Integer, Identity(start=1, increment=1), primary_key=True)
     file_path_to_create = Column(String, nullable=False)
     status = Column(STATUSES, nullable=False)
+    # TODO:
+    # Didn't make it required field yet. Revisit this
+    # post discussion
+    instrument = Column(INSTRUMENTS)
+    data_level = Column(DATA_LEVELS)
     job_definition = Column(String)
-    ingestion_date = Column(DateTime)
+    job_log_stream_id = Column(String)
+    container_image = Column(String)
+    container_command = Column(String)
 
 
 class FileCatalog(Base):
@@ -144,9 +150,7 @@ class FileCatalog(Base):
     end_date = Column(DateTime, nullable=False)
     version = Column(String(8), nullable=False)
     extension = Column(EXTENSIONS, nullable=False)
-    status_tracking_id = Column(
-        Integer, ForeignKey("status_tracking.id"), nullable=False
-    )
+    ingestion_date = Column(DateTime)
 
 
 class PreProcessingDependency(Base):

sds_data_manager/lambda_code/SDSCode/indexer.py

@@ -1,4 +1,3 @@
-import datetime
 import json
 import logging
 import os
@@ -36,17 +35,13 @@
 
     # Retrieve the metadata of the object
     bucket_name = os.environ.get("S3_DATA_BUCKET")
-    key = file_path
-    logger.info(f"bucket_name: {bucket_name}")
-    logger.info(f"key: {key}")
+    logger.info(f"looking up ingestion date for {file_path}")
 
-    response = s3_client.head_object(Bucket=bucket_name, Key=key)
+    response = s3_client.head_object(Bucket=bucket_name, Key=file_path)
     file_creation_date = response["LastModified"]
 
-    # time looks like this:
+    # LastModified looks like this:
     # 2024-01-25 23:35:26+00:00
-    # Formats the datetime object to a string with the format "%Y%m%d".
-    # ingestion_data_str = file_creation_date.strftime("%Y%m%d")
     return file_creation_date
 
 
@@ -168,6 +163,10 @@
 def s3_event_handler(event):
     """Handler function for S3 events.
 
+    S3 event handler takes s3 event and then writes information to
+    file catalog table. It also sends event to the batch starter
+    lambda once it finishes writing information to database.
+
     Parameters
     ----------
     event : dict
@@ -186,72 +185,36 @@
     # TODO: add checks for SPICE or other
     # data types
 
-    try:
-        science_file = ScienceFilepathManager(filename)
-    except InvalidScienceFileError as e:
-        logger.error(str(e))
-        return http_response(status_code=400, body=str(e))
-
+    # Check if the file is a valid science file or not
+    # TODO: change these lines once filename validator
+    # is implemented on sds-data-access repo and released
+    science_file = ScienceFilepathManager(filename)
     # setup a dictionary of metadata parameters to unpack in the
-    # file catalog table
+    # file catalog table. Eg.
+    # {
+    #     "file_path": None,
+    #     "instrument": self.instrument,
+    #     "data_level": self.data_level,
+    #     "descriptor": self.descriptor,
+    #     "start_date": datetime.strptime(self.startdate, "%Y%m%d"),
+    #     "end_date": datetime.strptime(self.enddate, "%Y%m%d"),
+    #     "version": self.version,
+    #     "extension": self.extension,
+    #     "ingestion_date": date_object,
+    # }
     metadata_params = science_file.get_file_metadata_params()
     metadata_params["file_path"] = s3_filepath
 
-    if metadata_params["data_level"] != "l0":
-        logger.error("Invalid data level. Expected l0")
-        return http_response(status_code=400, body="Invalid data level")
-
-    # Add data to the file catalog and status tables
-    # create status params
-    # Event time looks like this:
-    # "time": "2024-01-16T17:35:08Z"
-    # Parses the time string from the event to a datetime object.
-    ingestion_date = datetime.datetime.strptime(event["time"], "%Y-%m-%dT%H:%M:%SZ")
-    # Formats the datetime object to a string with the format "%Y%m%d".
-    ingestion_data_str = ingestion_date.strftime("%Y%m%d")
-    # Parses the newly formatted string back into a datetime
-    # object with the desired structure.
-    ingestion_date_object = datetime.datetime.strptime(ingestion_data_str, "%Y%m%d")
-    status_params = {
-        "file_path_to_create": s3_filepath,
-        "status": models.Status.SUCCEEDED,
-        "job_definition": None,
-        "ingestion_date": ingestion_date_object,
-    }
-    try:
-        logger.info(f"Inserting {filename} into database")
-        update_status_table(status_params)
-        logger.info("Wrote data to status table")
-    except Exception as e:
-        logger.error(str(e))
-        return http_response(status_code=400, body=str(e))
-
-    # Query to get foreign key id for catalog table
-    status_tracking = None
-    with Session(db.get_engine()) as session:
-        # Query to get foreign key id for catalog table
-        query = select(models.StatusTracking.__table__).where(
-            models.StatusTracking.file_path_to_create == s3_filepath
-        )
-
-        status_tracking = session.execute(query).first()
+    ingestion_date_object = get_file_creation_date(s3_filepath)
 
-    if status_tracking is None:
-        logger.error("No status tracking record found")
-        return http_response(status_code=400, body="No status tracking record found")
-    logger.info(f"Found record in status table associated with - {filename}")
-    try:
-        metadata_params["status_tracking_id"] = status_tracking.id
-        update_file_catalog_table(metadata_params)
-        logger.info("Wrote data to file catalog table")
-    except Exception as e:
-        logger.error(str(e))
-        return http_response(status_code=400, body=str(e))
+    metadata_params["ingestion_date"] = ingestion_date_object
+    update_file_catalog_table(metadata_params)
+    logger.info("Wrote data to file catalog table")
 
-    # Send L0 event from this lambda for Batch starter
+    # Send event from this lambda for Batch starter
     # lambda
     send_event_from_indexer(filename)
-    return http_response(status_code=200, body="Success")
+    logger.debug("S3 event handler complete")
 
 
 def batch_event_handler(event):
@@ -297,77 +260,48 @@
     """
     command = event["detail"]["container"]["command"]
 
-    # Get event inputs ready
-    file_path = command[5]
-    filename = os.path.basename(file_path)
-
-    # TODO: post demo, revisit this and improve it
-    if event["detail"]["status"] == "SUCCEEDED":
-        # Frist write to status table and then
-        # write to file catalog with foreign key
-        # information
-        try:
-            # query and update status table record with new
-            # information from batch
-            with Session(db.get_engine()) as session:
-                # Had to query this way because the select statement
-                # returns a RowProxy object when it executes it,
-                # not the actual StatusTracking model instance,
-                # which is why it can't update table row directly.
-                result = (
-                    session.query(models.StatusTracking)
-                    .filter(models.StatusTracking.file_path_to_create == file_path)
-                    .first()
-                )
+    # Get filename from batch job command
+    file_path_to_create = command[5]
+    # Get job status
+    job_status = (
+        models.Status.SUCCEEDED
+        if event["detail"]["status"] == "SUCCEEDED"
+        else models.Status.FAILED
+    )
 
-                # update three fields with updated information
-                result.status = models.Status.SUCCEEDED
-                result.job_definition = event["detail"]["jobDefinition"]
-                result.ingestion_date = get_file_creation_date(file_path)
-                session.commit()
-
-                # Then write to file catalog table
-                sci_file = ScienceFilepathManager(filename)
-                metadata_params = sci_file.get_file_metadata_params()
-                metadata_params["file_path"] = file_path
-                metadata_params["status_tracking_id"] = result.id
-                update_file_catalog_table(metadata_params)
-                # Send event from this lambda for Batch starter
-                # lambda
-                response = send_event_from_indexer(filename)
-                logger.info(f"Sent event to EventBridge - {response}")
-
-        except Exception as e:
-            logger.error(str(e))
-            return http_response(status_code=400, body=str(e))
-
-    elif event["detail"]["status"] == "FAILED":
-        try:
-            # Update only status table with Failed status
-            with Session(db.get_engine()) as session:
-                # Had to query this way because the select statement
-                # returns a RowProxy object when it executes it,
-                # not the actual StatusTracking model instance,
-                # which is why it can't update table row directly.
-                result = (
-                    session.query(models.StatusTracking)
-                    .filter(models.StatusTracking.file_path_to_create == file_path)
-                    .first()
-                )
+    with Session(db.get_engine()) as session:
+        # Had to query this way because the select statement
+        # returns a RowProxy object when it executes it,
+        # not the actual StatusTracking model instance,
+        # which is why it can't update table row directly.
+        result = (
+            session.query(models.StatusTracking)
+            .filter(models.StatusTracking.file_path_to_create == file_path_to_create)
+            .first()
+        )
 
-                # update two fields with updated information
-                result.status = models.Status.FAILED
-                result.job_definition = event["detail"]["jobDefinition"]
-                session.commit()
-        except Exception as e:
-            logger.error(str(e))
-            return http_response(status_code=400, body=str(e))
+        if result is None:
+            logger.info(
+                "No existing record found, creating"
+                " new record for {file_path_to_create}"
+            )
+            status_params = {
+                "file_path_to_create": file_path_to_create,
+                "status": job_status,
+            }
+            update_status_table(status_params)
+            result = (
+                session.query(models.StatusTracking)
+                .filter(
+                    models.StatusTracking.file_path_to_create == file_path_to_create
+                )
+                .first()
+            )
 
-    else:
-        # Technically, we shouldn't get other job status since event
-        # bridge filters out only succeeded or failed status.
-        logger.error("Unknown batch job status")
-        return http_response(status_code=400, body="Unknown batch job status")
+        result.status = job_status
+        result.job_definition = event["detail"]["jobDefinition"]
+        # TODO: get other information post discussion
+        session.commit()
 
     return http_response(status_code=200, body="Success")
 
@@ -403,28 +337,39 @@
     filename = os.path.basename(file_path_to_create)
     logger.info(f"Attempting to insert {filename} into database")
 
-    try:
-        _ = ScienceFilepathManager(filename)
-    except InvalidScienceFileError as e:
-        logger.error(str(e))
-        return http_response(status_code=400, body=str(e))
+    ScienceFilepathManager(filename)
 
     # Write event information to status tracking table.
     logger.info(f"Inserting {filename} into database")
     status_params = {
         "file_path_to_create": file_path_to_create,
         "status": models.Status.INPROGRESS,
         "job_definition": None,
-        "ingestion_date": None,
     }
-    try:
-        update_status_table(status_params)
-    except Exception as e:
-        return http_response(status_code=400, body=str(e))
+    update_status_table(status_params)
 
+    logger.debug("Wrote data to status tracking table")
     return http_response(status_code=200, body="Success")
 
 
+# Handlers mapping
+event_handlers = {
+    "aws.s3": s3_event_handler,
+    "aws.batch": batch_event_handler,
+    "imap.lambda": custom_event_handler,
+}
+
+
+def handle_event(event, handler):
+    """Common event handling logic."""
+    try:
+        handler(event)
+        return http_response(status_code=200, body="Success")
+    except InvalidScienceFileError as e:
+        logger.error(str(e))
+        return http_response(status_code=400, body=str(e))
+
+
 def lambda_handler(event, context):
     """Handler function for creating metadata, adding it to the database.
 
@@ -443,16 +388,11 @@
         and runtime environment.
     """
     logger.info("Received event: " + json.dumps(event, indent=2))
+    source = event.get("source")
 
-    # L0 data or other data type such as SPICE data ingestion
-    if event["source"] == "aws.s3":
-        return s3_event_handler(event)
-    # Data processing status
-    elif event["source"] == "aws.batch":
-        return batch_event_handler(event)
-    # Data processing initiation
-    elif event["source"] == "imap.lambda":
-        return custom_event_handler(event)
+    handler = event_handlers.get(source)
+    if handler:
+        return handle_event(event, handler)
     else:
         logger.error("Unknown event source")
         return http_response(status_code=400, body="Unknown event source")

sds_data_manager/lambda_code/SDSCode/query_api.py

@@ -42,7 +42,7 @@ def lambda_handler(event, context):
     valid_parameters = [
         column.key
         for column in models.FileCatalog.__table__.columns
-        if column.key not in ["id", "status_tracking_id"]
+        if column.key not in ["id"]
     ]
     # go through each query parameter to set up sqlalchemy query conditions
     for param, value in query_params.items():
@@ -90,8 +90,10 @@ def lambda_handler(event, context):
     for result in search_results:
         result["start_date"] = result["start_date"].strftime("%Y%m%d")
         result["end_date"] = result["end_date"].strftime("%Y%m%d")
+        result["ingestion_date"] = result["ingestion_date"].strftime(
+            "%Y-%m-%d %H:%M:%S%z"
+        )
         del result["id"]
-        del result["status_tracking_id"]
 
     logger.info(
         "Found [%s] Query Search Results: %s", len(search_results), str(search_results)